People Research Scientist

Responsibilities

Research Design & Scientific Inquiry

• Design and execute systematic research studies to answer fundamental questions about employee experience, manager effectiveness, and organizational health
• Generate and test hypotheses about people programs, employee behavior, and workforce outcomes using rigorous experimental and quasi-experimental methods
• Conduct longitudinal studies tracking employee cohorts to understand long-term workforce trends and the impact of people initiatives
• Perform meta-analyses of people interventions across the industry to identify best practices and knowledge gaps
• Navigate research ethics considerations when studying employee data, ensuring responsible research practices

Employee Listening & Survey Research

• Design, analyze, and iterate on employee listening programs including engagement surveys, pulse surveys, and lifecycle surveys
• Apply psychometric methods to validate survey instruments and ensure measurement reliability
• Translate survey findings into strategic recommendations that drive meaningful organizational change

Manager Research & Organizational Effectiveness

• Conduct research on manager behaviors, competencies, and their impact on team outcomes
• Build measurement frameworks to evaluate and improve manager effectiveness programs
• Study organizational dynamics including team composition, collaboration patterns, and their relationship to performance outcomes

Visualization & Communication

• Build compelling visualizations and dashboards that make complex research findings accessible to diverse audiences
• Present research findings to senior leadership with clear, actionable recommendations
• Develop self-service analytics capabilities that empower People team partners

Requirements

• Advanced degree (Master’s or PhD) in I/O Psychology, Organizational Behavior, Statistics, Data Science, Economics, Behavioral Science, or a related research field
• Experience with experimental design, hypothesis testing, longitudinal research methods, and causal inference
• Comfortable working in the People Analytics tech stack and collaborating with data engineers
• Proficient in SQL and Python/R, with experience in statistical analysis and machine learning
• Experience with survey design, psychometric methods, and employee listening programs
• Experience with data visualization and can tell compelling stories with research findings
• Excellent communication skills and can influence stakeholders at all levels
• Thrive in ambiguity and can balance rigor with pragmatism
• Track record of challenging assumptions with data and changing long-held practices
• Can navigate sensitive topics diplomatically while maintaining analytical rigor
• Demonstrate intellectual humility and comfort with iterative discovery
• Use data to improve how organizations develop and support their people

Preferred Qualifications

• 5+ years of experience in research, people analytics, or related quantitative fields with demonstrated research methodology expertise
• Background in people analytics specifically (not just general analytics)
• Experience designing and analyzing employee engagement or pulse surveys
• Deep knowledge of manager effectiveness research and organizational science
• Experience building self-service analytics tools or dashboards
• Understanding of employee lifecycle metrics and people KPIs
• Previous experience in high-growth technology companies or AI/ML organizations
• Familiarity with network analysis, NLP, or advanced statistical methods
• Experience with BigQuery and modern data stack tools
• Experience with Qualtrics
• Experience with Workday